# Revenium Griptape Integration - Project Plan & Status

## 🎯 Project Overview

This project provides **lightweight, zero-code-change integration** between Griptape AI frameworks and Revenium usage metering. Users can replace their standard Griptape drivers with Revenium-enabled ones to automatically track AI usage, costs, and metadata.

## ✅ Current Status

### Working Components

#### 1. **OpenAI Integration** ✅ COMPLETE
- **Driver**: `ReveniumOpenAiDriver` 
- **Status**: Fully functional with proper middleware integration
- **Example**: `examples/earlier_example.py` (universal driver test)
- **Features**: 
  - Automatic usage metering via `revenium-middleware-openai`
  - Clean metadata injection (excludes auth credentials)
  - Full Griptape compatibility

#### 2. **Anthropic Integration** ✅ COMPLETE  
- **Driver**: `ReveniumAnthropicDriver`
- **Status**: Fully functional and tested
- **Example**: `examples/anthropic_example.py`
- **Features**:
  - Automatic usage metering via `revenium-middleware-anthropic`
  - Clean metadata injection with sensitive data filtering
  - Full Griptape compatibility
  - Support for all Claude 3 models

#### 3. **Universal Driver** ✅ COMPLETE
- **Driver**: `ReveniumDriver` (factory/wrapper)
- **Status**: Working perfectly as a wrapper
- **Features**:
  - Auto-detects provider from model name or existing driver
  - Wraps any Griptape driver with Revenium metering
  - **RECOMMENDED APPROACH** for production use

#### 4. **LiteLLM Integration** ⚠️ WORKING WITH QUIRKS
- **Driver**: `ReveniumLiteLLMDriver`
- **Status**: Functional but complex
- **Example**: `examples/fixed_litellm_example.py`
- **Issues**:
  - Direct `litellm.completion()` calls return `None` due to middleware interception
  - **However**: Usage data successfully reaches Revenium (verified in logs)
  - **Workaround**: Use Universal Driver approach for cleaner integration

### Testing Infrastructure ✅ WORKING
- Individual driver tests in `testing/` directory
- Working examples with comprehensive error handling
- Clear success/failure reporting

## 🔧 Integration Approaches

### Recommended: Universal Driver Pattern
```python
from revenium_griptape import ReveniumDriver
from griptape.structures import Agent

# Auto-detects provider and enables Revenium metering
driver = ReveniumDriver(
    model="gpt-4",  # or "claude-3-haiku-20240307", "gemini-pro", etc.
    usage_metadata={
        "subscriber_id": "user-123",
        "task_type": "customer_support",
        "organization_id": "acme-corp"
    }
)

agent = Agent(prompt_driver=driver)
result = agent.run("Your query here")  # Automatically metered!
```

### Alternative: Direct Driver Usage
```python
from revenium_griptape import ReveniumOpenAiDriver

driver = ReveniumOpenAiDriver(
    model="gpt-4",
    usage_metadata={"subscriber_id": "user-123"}
)
```

## 📋 Next Steps & Improvements

### Immediate Actions Needed

1. **Fix LiteLLM Response Issue** 🔴 HIGH PRIORITY
   - Investigate why `litellm.completion()` returns `None`
   - Potential solutions:
     - Work with Revenium middleware team to fix response interception
     - Use async patterns to avoid middleware conflicts
     - Implement response caching/passthrough in middleware

2. **Add LiteLLM to Universal Driver** 🟡 MEDIUM PRIORITY
   - Export `ReveniumLiteLLMDriver` in `__init__.py`
   - Add more robust model detection for LiteLLM patterns
   - Test with actual LiteLLM providers (Gemini, Cohere, etc.)

3. **Enhanced Documentation** 🟡 MEDIUM PRIORITY
   - Create user-friendly README with quick start guide
   - Add API reference documentation
   - Create migration guide from standard Griptape drivers

### Future Enhancements

4. **Additional Provider Support** 🟢 LOW PRIORITY
   - Ollama driver completion and testing
   - Support for newer providers as they emerge
   - Custom driver wrapper utilities

5. **Advanced Features** 🟢 LOW PRIORITY
   - Streaming response support with usage tracking
   - Batch operation metering
   - Cost estimation and budgeting features
   - Real-time usage dashboards

## 🏆 Success Metrics

### ✅ Achieved
- [x] Zero-code-change integration (Universal Driver)
- [x] Multiple provider support (OpenAI, Anthropic)
- [x] Automatic usage metadata injection
- [x] Full Griptape compatibility
- [x] Working test examples
- [x] Data successfully reaching Revenium platform

### 🎯 Targets
- [ ] 100% response reliability for all providers
- [ ] Complete LiteLLM integration (response issue resolved)
- [ ] Production-ready documentation
- [ ] Performance benchmarks vs standard drivers

## 🛠️ Technical Architecture

```
User Code (Griptape Agent)
    ↓
ReveniumDriver (Universal Factory)
    ↓
Provider-Specific Driver (OpenAI/Anthropic/LiteLLM)
    ↓
Revenium Middleware (Usage Tracking)
    ↓
Original Provider Client (API Calls)
    ↓
AI Provider API
```

## 🎉 Ready for Users

**The project is ready for production use** with the Universal Driver approach. Users can:

1. Install the package
2. Replace their Griptape drivers with `ReveniumDriver`
3. Add usage metadata
4. Get automatic usage tracking with zero code changes

The LiteLLM response issue is a known limitation but doesn't prevent usage tracking - the data still reaches Revenium successfully. 